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  2. Skewness - Wikipedia

    en.wikipedia.org/wiki/Skewness

    Example distribution with positive skewness. These data are from experiments on wheat grass growth. In probability theory and statistics, skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean. The skewness value can be positive, zero, negative, or undefined.

  3. L-moment - Wikipedia

    en.wikipedia.org/wiki/L-moment

    For a random variable X, the r th population L-moment is [1] = = () ⁡ { : } , where X k:n denotes the k th order statistic (k th smallest value) in an independent sample of size n from the distribution of X and denotes expected value operator.

  4. Kurtosis - Wikipedia

    en.wikipedia.org/wiki/Kurtosis

    Kurtosis calculator; Free Online Software (Calculator) computes various types of skewness and kurtosis statistics for any dataset (includes small and large sample tests).. Kurtosis on the Earliest known uses of some of the words of mathematics; Celebrating 100 years of Kurtosis a history of the topic, with different measures of kurtosis.

  5. Moment (mathematics) - Wikipedia

    en.wikipedia.org/wiki/Moment_(mathematics)

    In mathematics, the moments of a function are certain quantitative measures related to the shape of the function's graph.If the function represents mass density, then the zeroth moment is the total mass, the first moment (normalized by total mass) is the center of mass, and the second moment is the moment of inertia.

  6. Algorithms for calculating variance - Wikipedia

    en.wikipedia.org/wiki/Algorithms_for_calculating...

    Algorithms for calculating variance play a major role in computational statistics.A key difficulty in the design of good algorithms for this problem is that formulas for the variance may involve sums of squares, which can lead to numerical instability as well as to arithmetic overflow when dealing with large values.

  7. Medcouple - Wikipedia

    en.wikipedia.org/wiki/Medcouple

    In statistics, the medcouple is a robust statistic that measures the skewness of a univariate distribution. [1] It is defined as a scaled median difference between the left and right half of a distribution. Its robustness makes it suitable for identifying outliers in adjusted boxplots.

  8. Skew normal distribution - Wikipedia

    en.wikipedia.org/wiki/Skew_normal_distribution

    The exponentially modified normal distribution is another 3-parameter distribution that is a generalization of the normal distribution to skewed cases. The skew normal still has a normal-like tail in the direction of the skew, with a shorter tail in the other direction; that is, its density is asymptotically proportional to for some positive .

  9. Box plot - Wikipedia

    en.wikipedia.org/wiki/Box_plot

    A box plot of the data set can be generated by first calculating five relevant values of this data set: minimum, maximum, median (Q 2), first quartile (Q 1), and third quartile (Q 3). The minimum is the smallest number of the data set. In this case, the minimum recorded day temperature is 57°F. The maximum is the largest number of the data set.